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So this week, the exact same government yelling “China is stealing our AI!” quietly went ahead and used China's AI on one of its own official websites. Unbelievable right?
Let's break down the chaos:
The Slip-Up: The Federal Register—the government's daily list of proposed rules run by the National Archives—had a search tool powered by Alibaba’s Qwen model chilling right on its homepage.
The Cover-Up: Nobody even knows how long it was squatting there. But the second people started screaming about it online on Wednesday, it vanished faster than free pizza in an office breakroom.
The Plot Twist: Just last week, the FBI accused Alibaba of "malicious" copying of Anthropic's tech as part of an alleged "industrial scale" operation. Rep. John Moolenaar called it one of the most jaw-dropping contradictions in recent memory.
Sure, Georgetown's Anupam Chander pointed out it wasn't a massive security risk since the site's content is already public. But as Sen. Mark Warner rightly asked: Did any US data actually leave government control? Yikes.
Daniel Castro, president of the Information Technology and Innovation Foundation, didn't hold back either, calling the mismatch between fierce US-China competition and a US agency casually adopting a Chinese model "one of the most insane things I've ever seen."
At the end of it all this raised major questions about whether the federal government was directly contradicting its own messaging.
Here’s Our Last Breakdown on YouTube.
Here's what we have for you today
🤑 China's Entire AI Industry Makes Less Money Than Anthropic Alone
If you thought the Silicon Valley hype train was dramatic, wait until you get a load of what is happening across the Pacific.
A brand-new bombshell report from the Rhodium Group just dropped, and honestly? It feels like we’re watching someone try to buy a Ferrari on a lemonade-stand budget.
Here’s the ultimate tea: China's major AI heavyweights are collectively pulling in only about 10% of the cold, hard cash that OpenAI and Anthropic are raking in all by themselves. Let that sink in for a second.
Now let’s look at the numbers, because math never lies, even when tech founders wish it did. Rhodium Group crunched the data using Annual Recurring Revenue (ARR), which is just industry-speak for taking a recent monthly cash haul and multiplying it by 12. And guess what, the result is mind-blowing:
OpenAI is sitting pretty at a massive $40 billion ARR.
Anthropic is absolutely crushing it at $65 billion ARR.
ByteDance is leading the pack on the Chinese side with $4 billion.
Alibaba pulled in a respectable $2.4 billion.
Z.AI is flashing $1.8 billion to investors.
Moonshot brought up the rear of the big players at $1 billion.
MiniMax is sitting at $800 million.
DeepSeek Clocked in at $500 million.
Now, here’s where things get gloriously messy. Even though the revenue gap is wider than a grand canyon, the valuations investors are slapping on these Chinese startups are completely detached from reality.
DeepSeek is valued at an absurd 163x its revenue.
Moonshot is trailing right behind at a wild 50x.
Compare that to the U.S. giants: OpenAI sits at a modest 34x, while Anthropic rests at 21x.
Logan Wright, a co-author of the Rhodium report, did not sugarcoat it for CNBC. He pointed out that this massive financing gap creates a ticking time bomb for China. And that scaling sustainably is going to be an uphill battle, especially since these labs rely heavily on volatile equity markets.
And spoiler alert: betting on predictable equity markets in China historically ranks right up there with predicting the weather in April.
So, why are the revenue numbers so disproportionate? It boils down to a couple of major structural hurdles:
The Open-Source Trap: Many Chinese AI models are open-source. That means anyone with the right hardware can download and run them for free without ever paying a dime to the original creators.
Pricing Wars: U.S. models are mostly closed-source, and according to comparison firm Artificial Analysis, top American models can charge much higher per-task prices than their Chinese counterparts.
Monetization Hustle: Chinese labs are currently scrambling to invent brand-new ways to monetize third-party access just to keep up.
Naturally, when the money gets tight, everyone looks toward the public markets for a quick bailout. The gossip mill says Moonshot has confidentially filed for a Hong Kong IPO with a breezy $3 billion goal, while DeepSeek has tapped CITIC Securities to prep for a listing on Shanghai's STAR Market. Meanwhile, U.S. watchers are eyeing OpenAI's delayed IPO plans and Anthropic's rumored debut next month.
Sure, Rhodium notes that their study captured data from earlier this summer when adoption was still climbing from a slow start. Z.AI even bounced back by boosting its year-end ARR target to $3 billion (up from $2.4 billion), giving their shares a nice little 5% bump in early Thursday trading.
Even with the rebound, one thing is glaringly obvious: the valuation vibes are immaculate, but the actual cash flow needs a serious glow-up. And the core question remains: Can you build a global empire on open-source handouts when the U.S. is locking its doors and cashing trillion-dollar checks?
What do you think? Are these astronomical valuations a stroke of visionary genius, or is this the ultimate tech bubble waiting to pop?
P.S. Want this broken down visually? Catch the full explainer on our YouTube, @the automated.
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This is your chance to see all 7 names and tickers - from a consumer staples powerhouse with 20 years of outperformance to a healthcare leader with 61 years of payout hikes.
🧱 Around The AI Block
📲 Rival AI agents, Instinct and Meta’s Muse, both add the ability to make calls.
🫣 U.S., China security experts propose nuclear-style safeguards for AI risks.
🤖 The fix for rogue AI agents could be more AI.
🦾 Anthropic says Claude now leads a quarter of work building its next AI models.
🤦 AI error-ridden court filings surge despite three years of court sanctions.
😱 Scammers have been inserting fake songs onto real artist's pages on Spotify and other platforms
🗣️ Reddit Co-Founder slams tech's 'tone deaf' AI messaging.
😨 Mustafa Suleyman claims Anthropic is teaching Claude consciousness in AI safety warning.
🙅♀️ Oversight Board says Meta's rules for AI deepfakes are 'consistently and fundamentally inadequate.'
👩🎓 AI Tutorials
5 Claude Connectors That Will Save You Hours.
And: Build Your First AI Agent in 10 Minutes.
So tell us, what’s the single most annoying, tedious task in your daily workflow that you desperately wish an AI could just handle for you?
Hit reply and the next video might just be around your exact problem!
Exploring AI Voice With SuperBloom
For Deel's "Feeling of Deeling" campaign, agency SuperBloom needed one consistent brand voice across markets—deployed fast, without sacrificing quality or consent. In this on-demand video session, SuperBloom and Voices break down the casting, production, and governance, plus what they'd do differently and where AI voice is headed next.
🛠️ Trending Tools
For the Audio Producers & Musicians: ElevenLabs Music v2.5 upgrades AI song generation with richer arrangements, more natural-sounding instruments, and tighter prompt adherence. It allows creators to guide tracks using audio references, make targeted sectional edits, and export lossless audio files. It gives musicians, sound designers, and content creators a production-ready tool to compose full-length studio tracks.
For the Local Marketers & Community Managers: Rocket Sender is a browser extension that enables bulk WhatsApp messaging directly inside WhatsApp Web without using an external API. You can import contact lists from Excel, personalize each outgoing message with dynamic variables, attach up to five files, and adjust sending speeds. It gives small business owners and campaign managers an easy way to run direct customer outreach right from their browser.
For the Neuroscientists & AI Researchers: MaleCNS Connectome presents the first complete 3D digital wiring diagram of an adult male fruit fly’s brain and central nervous system. Developed by Google Research and HHMI Janelia, it maps over 166,000 neurons and 125 million synaptic connections in an interactive, web-based viewer. It provides biological researchers and AI engineers with a landmark dataset to study how physical neural circuits process sensory inputs and drive complex behaviors.
🤖 AI Workout Of The Day: Create a Social Media Strategy for Your Business
A modern social media strategy isn't just about posting daily updates; it’s about building a predictable, high-converting digital footprint.
Posting without a strategy wastes creative effort, burns budget, and leaves your brand drowning in algorithm shifts. To build lasting brand equity, you need a clear blueprint that connects high-level business goals directly to daily execution. By mapping content pillars to your buyer's journey, maintaining a cohesive visual voice, and establishing tight analytics feedback loops, you transform casual followers into an active, loyal community.
💡 Prompts To Try:
Act as a Chief Marketing Officer (CMO) and Lead Social Media Strategist specializing in high-ROI organic and paid growth. Your task is to build a complete, execution-ready Social Media Strategy Playbook tailored to my business parameters:
* Brand Name & Industry: [INSERT BRAND NAME & INDUSTRY, e.g., Eco-Friendly Apparel, B2B SaaS]
* Primary Business Goal: [e.g., Drive e-commerce sales, generate B2B sales leads, build brand awareness]
* Target Audience Profile: [INSERT DEMOGRAPHICS, KEY INTERESTS, & PAIN POINTS]
* Primary Platforms of Interest: [e.g., Instagram, LinkedIn, TikTok, YouTube Shorts]
* Key Resources Available: [e.g., 1 part-time creator, basic graphic tools, small monthly video budget]
Please deliver a comprehensive, actionable strategy document structured into the following 5 operational sections:
1. OBJECTIVES, BENCHMARKS & PLATFORM ALLOCATION:
* Define 3 SMART business objectives (Specific, Measurable, Achievable, Relevant, Time-bound).
* Select the top 2-3 social channels for this niche and explain the channel role for each (e.g., "TikTok for viral top-of-funnel reach; LinkedIn for high-ticket B2B conversion").
2. CONTENT PILLARS & REPURPOSING MATRIX: Outline 3 core content pillars (e.g., 40% Educational/Authority, 30% Engagement/Community, 30% Promotional/Conversion). For each pillar, provide:
* 2 Specific Topic Ideas tailored to the target audience.
* Format Strategy: The ideal format (e.g., Carousel, Vertical Video, Text-only post).
3. BRAND VOICE, STYLE & ENGAGEMENT GUIDELINES
* Brand Voice Spectrum: Define the tone using 3 adjectives (e.g., Witty, Authoritative, Empathetic) along with 2 "Do's and Don'ts" for caption writing.
* Visual Identity Rules: Brief guidelines for image style, color aesthetic, and typography feel.
* Community Management Protocol: Provide 2 quick response scripts for positive comments and negative customer feedback.
4. 2-WEEK SAMPLE CONTENT CALENDAR: Construct a clean Markdown table outlining a 14-day posting schedule containing: | Day | Platform | Content Pillar | Post Hook / Visual Idea | Call to Action (CTA) |
5. PERFORMANCE METRICS & OPTIMIZATION LOOP
* Detail 3 key performance indicators (KPIs) to evaluate monthly success beyond vanity metrics (e.g., Save/Share Ratio, Outbound Click-Through Rate, Engagement Rate).
* Provide a simple 3-step monthly audit checklist to refine winning content and pivot away from underperforming posts.
TONE & EXECUTION GUIDELINES:
* Approach this with a strategic, highly organized, and results-driven tone.
* Use bold text, bullet points, and Markdown tables to ensure the strategy is easy to hand off to a social media manager or content creation team.Is this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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